- Eliminating in-memory deltaRecordsMap
- Use writerSchema to generate generic record needed by custom payloads
- changes to make tests work with hive 2.x
1. Go through dependencies list one round to ensure compliance. Generated current NOTICE list in all submodules (other apache projects like flink does this).
To be on conservative side regarding licensing, NOTICE.txt lists all dependencies including transitive. Pending Compliance questions reported in https://issues.apache.org/jira/browse/LEGAL-461
2. Automate generating NOTICE.txt files to allow future package compliance issues be identified early as part of code-review process.
3. Added NOTICE.txt and LICENSE.txt to all HUDI jars
(1) Apply transformation when using delta-streamer to ingest data.
(2) Add Hudi Incremental Source for Delta Streamer
(3) Allow delta-streamer config-property to be passed as command-line
(4) Add Hive Integration to Delta-Streamer and address Review comments
(5) Ensure MultiPartKeysValueExtractor handle hive style partition description
(6) Reuse same spark session on both source and transformer
(7) Support extracting partition fields from _hoodie_partition_path for HoodieIncrSource
(8) Reuse Binary Avro coders
(9) Add push down filter for Incremental source
(10) Add Hoodie DeltaStreamer metrics to track total time taken
- Tests redone in the process
- Main changes are to RealtimeRecordReader and how it treats maps/arrays
- Make hive sync work with Hive 1/2 and CDH environments
- Fixes to make corner cases for Hive queries
- Spark Hive integration - Working version across Apache and CDH versions
- Known Issue - https://github.com/uber/hudi/issues/439
- Fixes#246
- Bump up default parallelism to 1500, to handle large upserts
- Add docs on s3 confuration & tuning tips with tested spark knobs
- Fix bug to not duplicate hoodie metadata fields when input dataframe is another hoodie dataset
- Improve speed of ROTablePathFilter by removing directory check
- Move to spark-avro 4.0 to handle issue with nested fields with same name
- Keep AvroConversionUtils in sync with spark-avro 4.0
The code-style rules follow google style with some changes:
1. Increase line length from 100 to 120
2. Disable JavaDoc related checkstyles as this needs more manual work.
Both source and test code are checked for code-style
- HoodieLogFormat V2 has support for LogFormat evolution through versioning
- LogVersion is associated with a LogBlock not a LogFile
- Based on a version for a LogBlock, approporiate code path is executed
- Implemented LazyReading of Hoodie Log Blocks with Memory / IO tradeoff
- Implemented Reverse pointer to be able to traverse the log in reverse
- Introduce new MAGIC for backwards compatibility with logs without versions
- Fallback to old way of rollback by listing all partitions
- Added null check to ensure only partitions which are to be rolledback are considered
- Added location (committime) to workload stat
- Added checks in CompactedScanner to guard against task retries
- Introduce new logic for rollback (bounded by instant_time and target_instant time)
- Reversed logfiles order
